pinecone: update pinecone client (#28320)

This PR updates the Pinecone client to `5.4.0`, as well as its
dependencies (`pinecone-plugin-inference` and
`pinecone-plugin-interface`).

Note: `pinecone-client` is now simply called `pinecone`.

**Question for reviewer(s):** should this PR also update the `pinecone`
dep in [the root dir's `poetry.lock`
file](https://github.com/langchain-ai/langchain/blob/master/poetry.lock#L6729)?
Was unsure. (I don't believe so b/c it seems pinned to a lower version
likely based on 3rd-party deps (e.g. Unstructured).)

--
TW: @audrey_sage_


---
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docs/docs/integrations/providers/pinecone.mdx

@@ -32,7 +32,7 @@ For a more detailed walkthrough of the Pinecone vectorstore, see [this notebook]
 ### Pinecone Hybrid Search
 
 ```bash
-pip install pinecone-client pinecone-text
+pip install pinecone pinecone-text
 ```
 
 ```python

docs/docs/integrations/retrievers/pinecone_hybrid_search.ipynb

@@ -24,7 +24,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  pinecone-client pinecone-text pinecone-notebooks"
+    "%pip install --upgrade --quiet  pinecone pinecone-text pinecone-notebooks"
    ]
   },
   {

libs/community/langchain_community/vectorstores/pinecone.py

@@ -31,7 +31,7 @@ def _import_pinecone() -> Any:
     except ImportError as e:
         raise ImportError(
             "Could not import pinecone python package. "
-            "Please install it with `pip install pinecone-client`."
+            "Please install it with `pip3 install pinecone`."
         ) from e
     return pinecone
 
@@ -48,7 +48,7 @@ def _is_pinecone_v3() -> bool:
 class Pinecone(VectorStore):
     """`Pinecone` vector store.
 
-    To use, you should have the ``pinecone-client`` python package installed.
+    To use, you should have the ``pinecone`` python package installed.
 
     This version of Pinecone is deprecated. Please use `langchain_pinecone.Pinecone`
     instead.

libs/partners/pinecone/langchain_pinecone/embeddings.py

@@ -33,7 +33,7 @@ class PineconeEmbeddings(BaseModel, Embeddings):
 
     # Clients
     _client: PineconeClient = PrivateAttr(default=None)
-    _async_client: aiohttp.ClientSession = PrivateAttr(default=None)
+    _async_client: Optional[aiohttp.ClientSession] = PrivateAttr(default=None)
     model: str
     """Model to use for example 'multilingual-e5-large'."""
     # Config
@@ -65,6 +65,19 @@ class PineconeEmbeddings(BaseModel, Embeddings):
         protected_namespaces=(),
     )
 
+    @property
+    def async_client(self) -> aiohttp.ClientSession:
+        """Lazily initialize the async client."""
+        if self._async_client is None:
+            self._async_client = aiohttp.ClientSession(
+                headers={
+                    "Api-Key": self.pinecone_api_key.get_secret_value(),
+                    "Content-Type": "application/json",
+                    "X-Pinecone-API-Version": "2024-07",
+                }
+            )
+        return self._async_client
+
     @model_validator(mode="before")
     @classmethod
     def set_default_config(cls, values: dict) -> Any:
@@ -92,15 +105,8 @@ class PineconeEmbeddings(BaseModel, Embeddings):
         client = PineconeClient(api_key=api_key_str, source_tag="langchain")
         self._client = client
 
-        # initialize async client
-        if not self._async_client:
-            self._async_client = aiohttp.ClientSession(
-                headers={
-                    "Api-Key": api_key_str,
-                    "Content-Type": "application/json",
-                    "X-Pinecone-API-Version": "2024-07",
-                }
-            )
+        # Ensure async_client is lazily initialized
+        _ = self.async_client
         return self
 
     def _get_batch_iterator(self, texts: List[str]) -> Iterable:
@@ -174,7 +180,7 @@ class PineconeEmbeddings(BaseModel, Embeddings):
             "inputs": [{"text": text} for text in texts],
             "parameters": parameters,
         }
-        async with self._async_client.post(
+        async with self.async_client.post(
             "https://api.pinecone.io/embed", json=data
         ) as response:
             response_data = await response.json(content_type=None)

libs/partners/pinecone/langchain_pinecone/vectorstores.py

@@ -74,6 +74,7 @@ class PineconeVectorStore(VectorStore):
                     dimension=1536,
                     metric="cosine",
                     spec=ServerlessSpec(cloud="aws", region="us-east-1"),
+                    deletion_protection="enabled",  # Defaults to "disabled"
                 )
                 while not pc.describe_index(index_name).status["ready"]:
                     time.sleep(1)

libs/partners/pinecone/pyproject.toml

@@ -21,15 +21,9 @@ disallow_untyped_defs = "True"
 [tool.poetry.dependencies]
 python = ">=3.9,<3.13"
 langchain-core = "^0.3.15"
-pinecone-client = "^5.0.0"
+pinecone = "^5.4.0"
 aiohttp = ">=3.9.5,<3.10"
-[[tool.poetry.dependencies.numpy]]
-version = "^1"
-python = "<3.12"
-
-[[tool.poetry.dependencies.numpy]]
-version = "^1.26.0"
-python = ">=3.12"
+numpy = ">=1.26.0,<2.0.0"
 
 [tool.ruff.lint]
 select = [ "E", "F", "I", "T201",]